Triple
T13338923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Downeaster (at North Station) |
E317770
|
entity |
| Predicate | providesRegionalConnections |
P24718
|
FINISHED |
| Object | New Hampshire communities |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: New Hampshire communities | Statement: [Amtrak Downeaster (at North Station), providesRegionalConnections, New Hampshire communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesRegionalConnections Context triple: [Amtrak Downeaster (at North Station), providesRegionalConnections, New Hampshire communities]
-
A.
connectsRegions
chosen
Indicates a relationship where one entity links or joins two or more distinct regions, enabling passage, interaction, or continuity between them.
-
B.
connectsCountryOrRegion
Indicates that one entity establishes a connection, link, or association to a specific country or region.
-
C.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
-
D.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
E.
connectsToTouristRegion
Indicates that one entity has a direct linkage or association to a tourist region, such as through location, access, or service provision.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.